GuardionAIGuardionAI
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Use case · Coding agents

Let coding agents move fast — without moving your secrets.

Claude Code, Copilot, and Cursor take real actions on your machines. GuardionAI governs commands, file and secret access, and risky dependencies on the developer machine, EDR-style.

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~7ms overhead per action

The difference

Three layers where agents act. One platform to govern them all.

Most tools secure only the prompt. GuardionAI governs every layer — what your agents say, what they do, and what they build.

What agents say

Customer-facing AI

Chatbots, copilots, and support — every response is public, and you are accountable for it.

The risk
  • Customer PII exposed in a response
  • Prompt injection & jailbreaks
  • Off-policy or non-compliant advice
  • Regulatory exposure — LGPD, GDPR, EU AI Act
What agents do

Autonomous agents

Agents acting on your systems through MCP servers and tools — on their own, at machine speed.

The risk
  • Data exfiltration through a tool call, not the prompt
  • Over-privileged access to production data
  • Compromised or poisoned MCP tools
  • Shadow AI & ungoverned agents
What agents build

Coding agents

Claude Code, Codex, OpenCode, and Cursor writing and running code across your environment.

The risk
  • Secrets & credentials leaked into code or commits
  • Destructive commands — rm -rf, dropped tables, pushes to prod
  • No audit trail from an incident back to a user

GuardionAI

Agent Runtime Governance

One platform across all three layers — the same policy engine, observability, and incident response. Start anywhere, no new tooling.

What we govern

Conversational AIMCP & endpoint DLPCoding agentsSecrets & credentialsShadow AI discoveryPrompt injection & jailbreaksPII detection & redactionTool & MCP supply-chainTamper-evident audit & evidence
SystemsAI AgentsEndpointsMCP ServersDatabasesCustomer PII exposedfrom AI outputRedacted

ModernGuard model series

Our own guardrail models — not a generic API.

ModernGuard is our multilingual model series for prompt security, AI safety, and privacy — built on ModernBERT and trained on proprietary data. Guardrails are event- and session-aware, accumulating context into a live session risk score, so we catch the real action and behavior — not just the prompt. Fully fine-tunable to your use cases, updated from feedback and as it processes production data. Covers 1,080+ languages, fine-tuned on 11.

Hugging FaceGuardion/ModernGuard-1
#1
96.3 F1 on the Prompt Security Leaderboard
20×
faster latency than cloud provider guardrails
1,080+
languages covered

Enterprise & trust

Enterprise-grade from the first request.

Zero-trust by architecture

Encrypted gateway; no model provider sees raw data; your data never trains our models. PII is stripped before it ever leaves your org, backed by a security vault.

Compliance-ready

GDPR, HIPAA, and LGPD-ready, with SOC 2 Type II in progress. Comprehensive audit logs, SSO, and granular RBAC — tamper-evident and exportable to your SIEM.

We deploy it with you

A Guardion engineer embeds with your team for 30 days. Replaces the ~12 months and 3+ engineers it takes to build this in-house.

SOC 2 Type II — in progressGDPR · HIPAA · LGPDAARM-alignedANPD AI Regulatory Sandbox — participant
746M
Agent actions / month protected
99.98%
Detection precision
sub-130ms
End-to-end · ~7ms p95
+2,000
Threats blocked

In production across the largest LatAm fintechs · Built by engineers from Apple Siri · Nubank · Y Combinator

Start securing your AI

Your agents are already running. Are they governed?

One Security Gateway. Total control. Live in under 30 minutes — zero instrumentation.

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